Hello.....
Hope you have read my previous post about artificial intelligence...
Why am i posting in this newsgroup about artificial intelligence?
because i think hardware and software enginneers must know the basics of
artificial intelligence.. this is why as a software programmer
i have learned more about Deep Learning in artificial intelligence..
The basic of Deep Learning in artificial intelligence is that you have
to know about the the chain rule in mathematics and how to do partial
derivatives and how to calculate a stochastic gradient descent .. in
Perceptron and Backpropagation neural networks you have to minimize the
error of the cost function that is the difference between the desired
output and the output by using the direct method that is stochastic
gradient descent or using the PSO iterative method in combination with
Simulated annealingiterative method to search efficiently and to be able
to converge to the global minimum.
This is the basic of Deep Learning, and this is what i have learned
as a software programmer to know more about artificial intelligence.
You can learn more about Deep learning here:
http://alexminnaar.com/deep-learning-basics-neural-networks-backpropagation-and-stochastic-gradient-descent.html
Thank you,
Amine Moulay Ramdane.